Personality Type and Perceived Quality of Life of Selected College Students

The World Health Organization declared the COVID-19 outbreak as a global pandemic, in which many countries began implementing restrictions to control the virus. As a result, it began to disrupt the normal activities of people around the world, including college students. Limited studies have been done in relation to this topic; thus, this study aimed to determine the significant difference in the perceived quality of life of selected college students across personality types during the pandemic. This study utilized Descriptive-Evaluative and Descriptive-Comparative research designs. Researchers purposively sampled 123 respondents from eight colleges in a selected university in Silang, Cavite. Respondents answered a self-reported online questionnaire including a personality temperament test and perceived quality of life. Data were analyzed using statistical tests of Mean, Standard Deviation, and ANOVA. Results revealed that choleric has the highest frequency of 51 (41.5%) among the four-personality types. The overall perceived quality of life was fairly high, with a mean of 4.62 (SD = 1.19). The level of satisfaction that the respondents get from receiving help from friends and family was high, with the highest mean score of 5.30 (SD = 1.53). Moreover, the result showed that there is a significant difference in the perceived quality of life across personality types (p = .30). Choleric has a significantly higher perceived quality of life than Sanguine (p = .051). Among the moderating variables, none had a significant difference in the perceived quality of life of the respondents. For future studies, quality of life and personality type among college students comparing both remote learning and in-person learning can be done.Keywords: Personality, Quality of Life, College Student

Differentiation of non-black fillers in rubber composites using linear discriminant analysis of principal components

In the compounding of rubber composites, different non-black fillers are used to improve the physical properties, reduce the formulation cost, and provide special characteristics. Designing a rubber composite for a specific application needs the careful selection and differentiation of fillers based on its effect on processibility and overall material properties of the vulcanizate. However, fillers are usually classified according to their effect on reinforcement or function without much consideration to other properties such as vulcanization characteristics and heat aging resistance. Analyses of multiple properties are tedious when done in a univariate way. To differentiate non-black fillers with consideration to the various properties of rubber composites, linear discriminant analysis (LDA) of principal components (PCs) was used. This paper examines how vulcanization and mechanical properties can differentiate aluminosilicate, bentonite, and silica fillers in rubber composites

Characterization and multi-response morphological optimization for preparation of defect-free electrospun nanofibers using the Taguchi method

© 2017 Trans Tech Publications Ltd, Switzerland. The study presents a method on producing defect-free polyvinyl alcohol-gelatin (PVAG) nanofibers by considering multiple morphological characteristics of the produced nanofibers using the Taguchi method. Aside from minimizing the average fiber diameter, the method was also used to produce consistent, monodispersed PVAG nanofibers without the usual defects of beading and splattering. The experiments are performed considering the effect of polymer composition (PVAG ratio and solvent ratio of water, formic acid, and acetic acid H2O:FA:HAc) and process factors (tipto-collector distance TCD and solution flow rate) on fiber morphology. Fiber morphology is measured in terms of 4 responses: average fiber diameter, standard deviation of fiber diameter, occurrence of beading, and occurrence of splattering. Results show that maximum overall desirability for electrospinning PVAG nanofibers at smallest average diameter and deviation (26.10 ± 9.88 nm) with chance of moderate beading and zero splattering is predicted at PVAG mass ratio of 6.5:3.5, H2O:FA:HAc solvent volume ratio of 4:4:2, TCD of 12.5 cm, and flow rate of 1 ml h-1. Results of confirmatory run agree with the predicted factor levels at maximum desirability, with average fiber diameter and standard deviation measured to be 26.95 ± 6.39 nm. PVAG nanofibers of the confirmatory run are also both bead- and splatter-free. Results suggest the application of Taguchi method can offer a robust and rapid approach in deriving the conditions for production of new and high-quality PVAG nanofibers for tissue engineering scaffolds

Effect of Ingredient Loading on Surface Migration Kinetics of Additives in Vulcanized Natural Rubber Compounds

Surface migration kinetics of chemical additives in vulcanized natural rubber compounds were studied as function of ingredient loading. Rubber sheets were compounded according to a 212-8 fractional factorial design of experiment, where ingredients were treated as factors varied at two levels of loading. Amount of migrated additives in surface of rubber sheets was monitored through time at ambient conditions. The maximum amount and estimated rate of additive migration were determined from weight loss kinetic curves. Attenuated total reflection–Fourier transform infrared (ATR-FTIR) spectroscopy and optical microscopy were used to characterize the chemical structure and surface morphology of sheet specimens during additive migration. ANOVA results showed that increased loading of reclaimed rubber, CaCO3, and paraffin wax signif icantly decreased the maximum amount of additive migration; by contrast, increased loading of used oil, asphalt, and mercaptobenzothiazole disulphide (MBTS) increased the maximum amount. Increased loading of sulfur, diphenylguanidine (DPG), and paraffin wax significantly decreased the additive migration rate; increased loading of used oil, asphalt, and stearic acid elicited an opposite effect. Comparison of ATRFTIR spectra of migrated and cleaned rubber surfaces showed signif icant variation in intensity of specif ic absorbance bands that are also present in infrared spectra of migrating chemicals. Paraffin wax, used oil, stearic acid, MBTS, asphalt, and zinc stearate were identified to bloom and bleed in the rubber sheets. Optical micrographs of migrated rubber surfaces revealed formation of white precipitates due to blooming and of semi-transparent wet patches due to bleeding